Machine Learning Engineer Internship, Generative AI - EMEA Remote

Hugging Face, the fastest-growing open-source machine learning library provider, is seeking a Machine Learning Engineer Intern focused on Generative AI. This exciting role sits at the intersection of software engineering and machine learning, specifically working on improving small-sized pre-trained models' output quality.

The internship focuses on a crucial area in AI development: extracting higher-quality output from existing small-sized pre-trained models. This is particularly relevant in today's landscape where 1B LLMs can now run on smartphones with quality levels similar to larger models. You'll work with state-of-the-art generative breakthroughs in transformers, making them more user-friendly and accessible.

During this internship, you'll gain comprehensive experience in all aspects of LLM APIs, including hardware acceleration, numerical precision challenges, machine learning fundamentals, and scalable software development. You'll be joining a company that values diversity, equity, and inclusivity, working alongside some of the industry's brightest minds.

Hugging Face has an impressive track record with 500K+ models and 250K+ stars on GitHub, serving over 15,000 companies including tech giants like Google, Elastic, Salesforce, and Grammarly. The company strongly believes in community collaboration and scientific advancement through open-source development.

The role offers excellent growth opportunities with reimbursement for relevant conferences, training, and education. You'll enjoy flexible working hours, remote work options, and the chance to visit Hugging Face offices worldwide. If you're passionate about open-source, have an eye for creativity, and want to make complex technology more accessible, this internship offers an unparalleled opportunity to contribute to one of the fastest-growing ML ecosystems.